135 search results - page 5 / 27 » Solving the Ill-Conditioning in Neural Network Learning |
ESANN
2008
14 years 11 months ago
2008
The Sensitivity-Based Linear Learning Method (SBLLM) is a learning method for two-layer feedforward neural networks, based on sensitivity analysis, that calculates the weights by s...
TNN
2008
14 years 9 months ago
2008
A multilayer neural network based on multivalued neurons (MLMVN) is a neural network with a traditional feedforward architecture. At the same time, this network has a number of spe...
NIPS
2001
14 years 11 months ago
2001
This paper presents reinforcement learning with a Long ShortTerm Memory recurrent neural network: RL-LSTM. Model-free RL-LSTM using Advantage learning and directed exploration can...
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NEUROSCIENCE
2001
Springer
15 years 1 months ago
2001
Springer
Abstract. Finite-state machines are the most pervasive models of computation, not only in theoretical computer science, but also in all of its applications to real-life problems, a...
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
— The applicability of complex networks of spiking neurons as a general purpose machine learning technique remains open. Building on previous work using macroscopic exploration o...